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# NumPy | transpose method

schedule Aug 12, 2023
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Numpy's `transpose(~)` method flips the rows and columns, just as in the context of matrices.

# Parameters

1. `a` | `array-like`

The input array.

2. `axes` | `list` of `int` | `optional`

The axis along which to perform the transpose. By default, flips the columns and rows for 2D arrays.

# Return value

If `a` is a scalar, then a scalar is returned. Otherwise, a Numpy array is returned.

# Examples

Consider the following 2D array:

``` a = np.array([[4,5],[6,7]])a array([[4, 5], [6, 7]]) ```

Taking the transpose gives:

``` np.transpose(a) array([[4, 6], [5, 7]]) ```

Notice how the rows and columns flipped.

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